Probabilistic formulation of Hadwiger-Nelson problem
This is a part of Polymath16 - for the main page, see Hadwiger-Nelson problem.
Suppose for sake of contradiction that we have a 4-coloring [math]\displaystyle{ c: {\bf C} \to \{1,2,3,4\} }[/math] of the complex plane with no unit edges monochromatic, thus
- [math]\displaystyle{ c(z) \neq c(w) \hbox{ whenever } |z-w| = 1. \quad (1) }[/math]
We can create further such colorings by composing [math]\displaystyle{ c }[/math] on the left with a permutation [math]\displaystyle{ \sigma \in S_4 }[/math] on the left, and with the (inverse of) a Euclidean isometry [math]\displaystyle{ T \in E(2) }[/math] on the right, thus creating a new coloring [math]\displaystyle{ \sigma \circ c \circ T^{-1}: {\bf C} \to \{1,2,3,4\} }[/math] of the complex plane with the same property. This is an action of the solvable group [math]\displaystyle{ S_4 \times E(2) }[/math].
It is a fact that all solvable groups (viewed as discrete groups) are amenable, so in particular [math]\displaystyle{ S_4 \times E(2) }[/math] is amenable. This means that there is a finitely additive probability measure [math]\displaystyle{ \mu }[/math] on [math]\displaystyle{ S_4 \times E(2) }[/math] (with all subsets of this group measurable), which is left-invariant: [math]\displaystyle{ \mu(gE) = \mu(E) }[/math] for all [math]\displaystyle{ g \in S_4 \times E(2) }[/math] and [math]\displaystyle{ E \subset S_4 \times E(2) }[/math]. This gives [math]\displaystyle{ S_4 \times E(2) }[/math] the structure of a finitely additive probability space. We can then define a random coloring [math]\displaystyle{ {\mathbf c}: {\bf C} \to \{1,2,3,4\} }[/math] by defining [math]\displaystyle{ {\mathbf c} := {\mathbf \sigma} \circ c \circ {\mathbf T}^{-1} }[/math], where [math]\displaystyle{ ({\mathbf \sigma},{\mathbf T}) }[/math] is the element of the sample space [math]\displaystyle{ S_4 \times E(2) }[/math]. Thus for any complex number [math]\displaystyle{ z }[/math], the random color [math]\displaystyle{ {\mathbf c}(z) }[/math] is a random variable taking values in [math]\displaystyle{ \{1,2,3,4\} }[/math]. The left-invariance of the measure implies that for any [math]\displaystyle{ (\sigma,T) \in S_4 \times E(2) }[/math], the coloring [math]\displaystyle{ \sigma \circ {\mathbf c} \circ T^{-1} }[/math] has the same law as [math]\displaystyle{ {\mathbf c} }[/math]. This gives the color permutation invariance
- [math]\displaystyle{ {\bf P}( {\mathbf c}(z_1) = c_1, \dots, {\mathbf c}(z_k) = c_k ) = {\bf P}( {\mathbf c}(z_1) = \sigma(c_1), \dots, {\mathbf c}(z_k) = \sigma(c_k) )\quad (2) }[/math]
for any [math]\displaystyle{ z_1,\dots,z_k \in {\bf C} }[/math], [math]\displaystyle{ c_1,\dots,c_k \in \{1,2,3,4\} }[/math], and [math]\displaystyle{ \sigma \in S_4 }[/math], and the Euclidean isometry invariance
- [math]\displaystyle{ {\bf P}( {\mathbf c}(z_1) = c_1, \dots, {\mathbf c}(z_k) = c_k ) = {\bf P}( {\mathbf c}(T(z_1)) = c_1, \dots, {\mathbf c}(T(z_k)) = c_k. \quad (3) }[/math]
(In probabilistic language, this means that the random coloring is a stationary process with respect to the action of [math]\displaystyle{ S_4 \times E(2) }[/math]. The extraction of a stationary process from a deterministic object is an example of the Furstenberg correspondence principle.)
Bounds on [math]\displaystyle{ p_d }[/math] for 4-colourings
A class of correlations that is of particular interest is that of vertex pairs at some distance [math]\displaystyle{ d }[/math]. Accordingly, define
- [math]\displaystyle{ p_d := {\bf P}( \mathbf{c}(0) = \mathbf{c}(d) ). }[/math]
| distance | Lower bound | Lower-bounding graph/method | Upper bound | Upper-bounding graph | Notes |
|---|---|---|---|---|---|
| [math]\displaystyle{ \geq 1/2 }[/math] | 1/2 | Spindle | |||
| [math]\displaystyle{ \geq 1/(n \sqrt{3}) }[/math] | [math]\displaystyle{ (3n-2)/3n }[/math] | (n+1)-gon with one edge length [math]\displaystyle{ 1/\sqrt{3} }[/math] and the rest d | |||
| 1 | 0 | Unit edge | 0 | Unit edge | |
| [math]\displaystyle{ \frac{1}{\sqrt{3}} }[/math] | 1/28 | Unit diamond plus centres of triangles, together with H, Corollary 16 | 1/3 | Unit triangle plus its centre | |
| 2 | 1/6 | H, Corollary 16 | 1/2 | Spindle | |
| [math]\displaystyle{ {\sqrt{3}} }[/math] | 1/4 | H, Corollary 16 | 1/2 | Spindle | |
| [math]\displaystyle{ {\frac{\sqrt{5}+1}{2}} }[/math] | 1/5 | regular pentagon with unit side length | 2/5 | regular pentagon with unit side length | |
| [math]\displaystyle{ {\frac{\sqrt{5}-1}{2}} }[/math] | 1/5 | regular pentagon with [math]\displaystyle{ {\frac{\sqrt{5}-1}{2}} }[/math] side length | 2/5 | regular pentagon with [math]\displaystyle{ {\frac{\sqrt{5}-1}{2}} }[/math] side length | |
| [math]\displaystyle{ {\sqrt{11/3}} }[/math] | 1/118 | [math]\displaystyle{ G_{40} }[/math] | 1/2 | Spindle | computer-verified |
| 8/3 | 1 | [math]\displaystyle{ V \oplus V \oplus H }[/math] | 1/2 | Spindle | computer-verified; leads to contradiction |
Bounds on [math]\displaystyle{ {\bf P}( \mathbf{c}(0) = \mathbf{c}(d_1) \mid \mathbf{c}(0) \neq \mathbf{c}(d_0) ) }[/math] for 4-colourings
| [math]\displaystyle{ d_1 }[/math] | [math]\displaystyle{ d_0 }[/math] | Lower bound | Lower-bounding graph | Upper bound | Upper-bounding graph | Notes |
|---|---|---|---|---|---|---|
| [math]\displaystyle{ 1+(-1)^{1/3} }[/math] | [math]\displaystyle{ 2 }[/math] | 1/2 | H | Equals [math]\displaystyle{ {\bf P}( \mathbf{c}(0) = \mathbf{c}(\sqrt 3) )/(1-{\bf P}( \mathbf{c}(0) = \mathbf{c}(2) )) }[/math] | ||
| [math]\displaystyle{ 1+(-1)^{1/3} }[/math] | [math]\displaystyle{ 1+(-1)^{-1/3} }[/math] | 1/2 | H |
Proofs of bounds
One can compute some correlations of the coloring exactly:
Lemma 1
Let [math]\displaystyle{ z,w \in {\bf C} }[/math] with [math]\displaystyle{ |z-w|=1 }[/math]. Then
- [math]\displaystyle{ {\bf P}( \mathbf{c}(z) = c ) = \frac{1}{4}\quad (4) }[/math]
for all [math]\displaystyle{ c=1,\dots,4 }[/math],
- [math]\displaystyle{ {\bf P}( \mathbf{c}(z) = \mathbf{c}(w) ) = 0\quad (5), }[/math]
and
- [math]\displaystyle{ {\bf P}( \mathbf{c}(z) = c; \mathbf{c}(w) = c' ) = \frac{1}{12} \quad (6) }[/math]
for any distinct [math]\displaystyle{ c,c' \in \{1,2,3,4\} }[/math]. If [math]\displaystyle{ u }[/math] is at a unit distance from both z and w, then
- [math]\displaystyle{ {\bf P}( \mathbf{c}(z) = c; \mathbf{c}(w) = c'; \mathbf{c}(u) = c'' ) = \frac{1}{24} \quad (6') }[/math]
Proof By color invariance (2), the four probabilities in (4) are equal and sum to 1, giving (4). The claim (5) is immediate from (1). From (5) and color invariance, the 12 probabilities in (6) are equal and sum to 1, giving (6). The same argument gives (6').[math]\displaystyle{ \Box }[/math]
Lemma 2
(Spindle argument) Let [math]\displaystyle{ |d| \geq 1/2 }[/math]. Then
- [math]\displaystyle{ p_d \leq \frac{1}{2} \quad (7). }[/math]
Proof We can find an angle [math]\displaystyle{ \theta }[/math] with [math]\displaystyle{ |de^{i\theta}-d|=1 }[/math], then [math]\displaystyle{ \mathbf{c}(de^{i\theta}) \neq \mathbf{c}(d) }[/math] almost surely. This means that at least one of the events [math]\displaystyle{ \mathbf{c}(0) = \mathbf{c}(d) }[/math], [math]\displaystyle{ \mathbf{c}(0) = \mathbf{c}(d e^{i\theta}) }[/math] occurs with probability at most 1/2. The claim now follows from isometry invariance (3). [math]\displaystyle{ \Box }[/math]
Lemma 3
(Using the K graph) We have
- [math]\displaystyle{ 52 {\bf P}( \mathbf{c}(1) = \mathbf{c}(e^{2\pi i/3}) = \mathbf{c}(e^{4\pi i/3}) ) + {\bf P}( \mathbf{c}(-z) = \mathbf{c}(z) \hbox{ for } z = 2, 2e^{2\pi i/3}, 2e^{4\pi i/3} ) \geq 1 \quad (8). }[/math]
Proof Consider the 61-vertex graph [math]\displaystyle{ K }[/math] from de Grey's paper. It has 26 (isometric) copies of H, and thus 52 copies of the triangle [math]\displaystyle{ (1, e^{2\pi i/3}, e^{4\pi i/3}) }[/math]. With probability at least [math]\displaystyle{ 1 - 52 {\bf P}( \mathbf{c}(1) = \mathbf{c}(e^{2\pi i/3}) = \mathbf{c}(e^{4\pi i/3}) ) }[/math], none of these triangles are monochromatic. By the argument in that paper, this implies that the three linking diagonals [math]\displaystyle{ (-2, +2) }[/math], [math]\displaystyle{ (-2 e^{2\pi i/3}, 2e^{2\pi i/3}) }[/math], [math]\displaystyle{ (-2 e^{4\pi i/3}, e^{-4\pi i/3}) }[/math] are monochromatic. This gives the claim. [math]\displaystyle{ \Box }[/math]
Corollary 4
(Existence of monochromatic [math]\displaystyle{ \sqrt{3} }[/math]-triangles) We have [math]\displaystyle{ {\bf P}( \mathbf{c}(1) = \mathbf{c}(e^{2\pi i/3}) = \mathbf{c}(e^{4\pi i/3}) ) \geq \frac{1}{104} }[/math].
Proof The probability [math]\displaystyle{ {\bf P}( \mathbf{c}(-z) = \mathbf{c}(z) \hbox{ for } z = 2, 2e^{2\pi i/3}, 2e^{4\pi i/3} ) }[/math] is at most [math]\displaystyle{ {\bf P}( \mathbf{c}(-2) = \mathbf{c}(2)) = p_4 }[/math], which by Lemma 2 is at most 1/2. The claim now follows from Lemma 3. [math]\displaystyle{ \Box }[/math]
Computer-verified Claim 5
(Using the graph M) One has [math]\displaystyle{ {\bf P}( \mathbf{c}(1) = \mathbf{c}(e^{2\pi i/3}) = \mathbf{c}(e^{4\pi i/3}) ) = 0 }[/math] (Note this contradicts Corollary 4).
Proof This simply reflects the fact that there is no 4-coloring of the 1345-vertex graph M from de Grey's paper with its central copy of H containing a monochromatic triangle. One can use other graphs for this purpose, such as the 278-vertex graph [math]\displaystyle{ M_1 }[/math] or [math]\displaystyle{ V \oplus V \oplus H }[/math]. [math]\displaystyle{ \Box }[/math]
Computer-verified Claim 6
(Using the graph [math]\displaystyle{ V \oplus V \oplus H }[/math]) One has [math]\displaystyle{ p_{8/3} = 1 }[/math] (note this contradicts Lemma 2).
Proof This reflects the fact that every 4-coloring of [math]\displaystyle{ V \oplus V \oplus H }[/math] must assign the same color to 0 and 8/3. There is also a 745-vertex subgraph of [math]\displaystyle{ V \oplus V \oplus H }[/math] with the same property. [math]\displaystyle{ \Box }[/math]
Lemma 7
(Using [math]\displaystyle{ G_{40} }[/math]) We have
- [math]\displaystyle{ 59 p_{\sqrt{11/3}} + p_{8/3} \geq 1 }[/math].
Proof This reflects the fact that every 4-coloring of the 40-vertex graph [math]\displaystyle{ G_{40} }[/math] from Exoo-Ismaolescu in which none of the 59 pairs of vertices at distance [math]\displaystyle{ \sqrt{11/3} }[/math] apart, will assign the same color to 0 and 8/3. (This is presumably human-verifiable.) [math]\displaystyle{ \Box }[/math]
Corollary 8
One has
- [math]\displaystyle{ p_{\sqrt{11/3}} \geq \frac{1}{118} }[/math].
Proof Combine Lemma 7 and Lemma 2. [math]\displaystyle{ \Box }[/math]
Lemma 9
(Using [math]\displaystyle{ G_{49} }[/math]) One has
- [math]\displaystyle{ 18 {\bf P}( \mathbf{c}(1/3) = \mathbf{c}(e^{2\pi i/3}/3) = \mathbf{c}(e^{4\pi i/3}/3) ) \geq p_{\sqrt{11/3}} . }[/math]
Proof This reflects the fact that every 4-coloring of the 49-vertex graph [math]\displaystyle{ G_{49} }[/math] from Exoo-Ismaolescu in which 0 and [math]\displaystyle{ \sqrt{11/3} }[/math] have the same color, at least one of the 18 copies of [math]\displaystyle{ (1/3, e^{2\pi i/3}/3, e^{4\pi i/3}/3) }[/math] is monochromatic. This is potentially human-verifiable. [math]\displaystyle{ \Box }[/math]
Corollary 10
(Existence of monochromatic [math]\displaystyle{ 1/\sqrt{3} }[/math]-triangles) One has [math]\displaystyle{ {\bf P}( \mathbf{c}(1/3) = \mathbf{c}(e^{2\pi i/3}/3) = \mathbf{c}(e^{4\pi i/3}/3) ) \geq \frac{1}{2124}. }[/math]
Proof Combine Corollary 8 and Lemma 9. [math]\displaystyle{ \Box }[/math]
Computer-verified claim 11
One has [math]\displaystyle{ {\bf P}( \mathbf{c}(1/3) = \mathbf{c}(e^{2\pi i/3}/3) = \mathbf{c}(e^{4\pi i/3}/3) ) = 0 }[/math]. (This contradicts Corollary 10).
Proof This reflects the fact that the 627-vertex graph [math]\displaystyle{ G_{627} }[/math] from Exoo-Ismaolescu does not have any 4-colorings with [math]\displaystyle{ 1/3, e^{2\pi i/3}/3, e^{4\pi i/3}/3 }[/math] monochromatic. [math]\displaystyle{ \Box }[/math]
For certain special distances d, one can improve the bound in Lemma 2:
Lemma 12
If [math]\displaystyle{ k \geq 1 }[/math] is a natural number, [math]\displaystyle{ j\in\mathbb{Z} }[/math], and [math]\displaystyle{ \gcd(j,2k+1)=1 }[/math] then
- [math]\displaystyle{ p_{\frac{1}{2 \sin \frac{j\pi}{2k+1}}} \leq \frac{k}{2k+1}, }[/math]
thus for instance
- [math]\displaystyle{ p_{\frac{1}{\sqrt{3}})} \leq \frac{1}{3}. }[/math]
Proof Write [math]\displaystyle{ r = \frac{1}{2 \sin \frac{j\pi}{2k+1}} }[/math], then observe that the regular 2k+1-polygon [math]\displaystyle{ r, re^{2\pi i/(2k+1)}, r e^{4\pi i/(2k+1)}, \dots, r^{4k\pi i/(k+1)} }[/math] has unit side lengths. By the pigeonhole principle, we conclude that at most k of these vertices can have the same color as the origin, and the claim follows. [math]\displaystyle{ \Box }[/math]
On the other hand, for [math]\displaystyle{ k=2,j=1 }[/math] we also know from the regular pentagon of unit sidelength that
- [math]\displaystyle{ \frac{1}{5} \leq p_{\frac{\sqrt{5}+1}{2})} \leq \frac{2}{5} \quad (9) }[/math]
since any 4-coloring of that pentagon has either one or two monochromatic diagonals.
Similarly, for [math]\displaystyle{ k=2,j=2 }[/math] we also know from the regular pentagon of [math]\displaystyle{ \frac{\sqrt{5}-1}{2} }[/math] sidelength that
- [math]\displaystyle{ \frac{1}{5} \leq p_{\frac{\sqrt{5}-1}{2}} \leq \frac{2}{5} }[/math]
since any 4-coloring of that pentagon has either one or two monochromatic edges.
Lemma 13
We have
- [math]\displaystyle{ 7 p_{\frac{1}{\sqrt{3}}} \geq p_{\sqrt{3}} }[/math].
Proof Consider the unit rhombus [math]\displaystyle{ 0, 1, e^{i\pi/3}, e^{-i\pi/3} }[/math] together with the centers [math]\displaystyle{ e^{i\pi/6}/\sqrt{3}, e^{-i\pi/6}/\sqrt{3} }[/math]. With probability [math]\displaystyle{ p_{\sqrt{3}} }[/math], the two far vertices [math]\displaystyle{ e^{i\pi/3}, e^{-i\pi/3} }[/math] are the same color, and then 0,1 will be two other colors. This forces either one of the centers [math]\displaystyle{ e^{i\pi/6}/\sqrt{3} }[/math] of a triangle to have a common color with one of the vertices of that triangle, or the two centers must have the same color. Thus in any event one of the seven edges of distance [math]\displaystyle{ 1/\sqrt{3} }[/math] is monochromatic, giving the claim. [math]\displaystyle{ \Box }[/math]
Corollary 14
We have [math]\displaystyle{ p_{\frac{1}{\sqrt{3}}} \geq \frac{1}{728} }[/math].
This slightly improves upon the lower bound of 1/2124 coming from Corollary 10.
Proof Combine Corollary 4 and Lemma 13. [math]\displaystyle{ \Box }[/math]
Lemma 15
One has
- [math]\displaystyle{ p_{\sqrt{3}} + p_2 \geq \frac{2}{3} }[/math] and [math]\displaystyle{ 2 p_{\sqrt{3}} + p_2 \geq 1 }[/math].
Proof As noted in de Grey's paper, there are essentially four 4-colorings of H. H has six edges of length [math]\displaystyle{ \sqrt{3} }[/math] and three of length [math]\displaystyle{ 2 }[/math]. If we let a denote the number of monochromatic [math]\displaystyle{ \sqrt{3} }[/math] edges and b the number of monochromatic [math]\displaystyle{ 2 }[/math]-edges, we see from inspection of all four colorings that [math]\displaystyle{ (a,b) }[/math] is either [math]\displaystyle{ (6, 0), (4,0), (2, 1) }[/math], or [math]\displaystyle{ (0,3) }[/math]. In particular, one always has [math]\displaystyle{ \frac{a}{6} + \frac{b}{3} \geq \frac{2}{3} }[/math] and [math]\displaystyle{ 2\frac{a}{6} + \frac{b}{3} \geq 1 }[/math]. Taking expectations, we obtain the claim. [math]\displaystyle{ \Box }[/math]
Corollary 16
We have [math]\displaystyle{ p_2 \geq \frac{1}{6} }[/math], [math]\displaystyle{ p_{\sqrt{3}} \geq \frac{1}{4} }[/math] and [math]\displaystyle{ p_{\frac{1}{\sqrt{3}}} \geq \frac{1}{28} }[/math].
Proof Combine Lemma 2, Lemma 15, and Lemma 13. [math]\displaystyle{ \Box }[/math]
Lemma 17
If [math]\displaystyle{ a,b,c \gt 0 }[/math] are the lengths of a triangle, then [math]\displaystyle{ {\bf P}\left(\mathbf{c}(a)\neq \mathbf{c}(0)\neq \mathbf{c}\left(b\exp\left(i\arccos\left(\frac{a^b+b^2-c^2}{2ab}\right)\right)\right) \right) + p_a + p_b \leq 1 + p_c }[/math].
Proof Consider a triangle of side lengths [math]\displaystyle{ a,b,c }[/math]. Let [math]\displaystyle{ \left|z_2\right|=b,\left|a-z_2\right|=c }[/math]. If the c side is not monochromatic, then at least one of the other two sides must fail to be monochromatic also: [math]\displaystyle{ \mathbf{c}(a)\neq\mathbf{c}(z_2)\Rightarrow[\mathbf{c}(a)\neq\mathbf{c}(0)\lor\mathbf{c}(0)\neq\mathbf{c}(z_2)] }[/math]. [math]\displaystyle{ [A\Rightarrow B]\Rightarrow {\bf P}(A)\leq{\bf P}(B) }[/math] thus
- [math]\displaystyle{ {\bf P}(\mathbf{c}(a)\neq\mathbf{c}(0)\lor\mathbf{c}(0)\neq\mathbf{c}(z_2)) \geq {\bf P}(\mathbf{c}(a) \neq \mathbf{c}(z_2)) = 1-p_c }[/math]
[math]\displaystyle{ {\bf P}(A\lor B) +{\bf P}(A\land B)={\bf P}(A)+{\bf P}(B) }[/math], so
- [math]\displaystyle{ {\bf P}(\mathbf{c}(a)\neq\mathbf{c}(0)\lor\mathbf{c}(0)\neq\mathbf{c}(z_2)) = {\bf P}(\mathbf{c}(a)\neq\mathbf{c}(0)) + {\bf P}(\mathbf{c}(0)\neq\mathbf{c}(z_2)) - {\bf P}(\mathbf{c}(a)\neq\mathbf{c}(0)\neq\mathbf{c}(z_2)) }[/math]
- [math]\displaystyle{ {\bf P}(\mathbf{c}(a)\neq\mathbf{c}(0)\lor\mathbf{c}(0)\neq\mathbf{c}(z_2)) = 2 - p_a - p_b - {\bf P}(\mathbf{c}(a)\neq\mathbf{c}(0)\neq\mathbf{c}(z_2)) }[/math]
- [math]\displaystyle{ 1-p_c \leq 2 - p_a - p_b - {\bf P}(\mathbf{c}(a)\neq\mathbf{c}(0)\neq\mathbf{c}(z_2)) }[/math]
Using the law of cosines: [math]\displaystyle{ z_2=b\exp\left(i\arccos\left(\frac{a^b+b^2-c^2}{2ab}\right)\right) }[/math]
- [math]\displaystyle{ {\bf P}\left(\mathbf{c}(a)\neq \mathbf{c}(0)\neq \mathbf{c}\left(b\exp\left(i\arccos\left(\frac{a^b+b^2-c^2}{2ab}\right)\right)\right) \right) + p_a + p_b \leq 1 + p_c }[/math] [math]\displaystyle{ \Box }[/math]
Note that Lemma 2 follows from the c=1 case of this lemma. Iterating this lemma starting with Lemma 2 we can also obtain slightly nontrivial upper bounds on [math]\displaystyle{ p_a }[/math] for small values of a, e.g. [math]\displaystyle{ p_a \leq 1 - 2^{-k} }[/math] when [math]\displaystyle{ a \geq 2^{-k}, k\in\mathbb{Z}^+ }[/math].
Lemma 18
Whenever [math]\displaystyle{ d\gt 0 }[/math], one has the inequalities
- [math]\displaystyle{ |p_{\phi d} - p_d| \leq \frac{2}{5}, p_{\phi d} + p_d \geq \frac{1}{5}, 2p_d - p_{\phi d} \leq 1, 2 p_{\phi d} - p_d \leq 1 }[/math]
where [math]\displaystyle{ \phi := \frac{1+\sqrt{5}}{2} }[/math] is the golden ratio.
Note that this generalises (9).
Proof Consider the regular pentagon with sidelength [math]\displaystyle{ d }[/math], so it also has 5 diagonals of length [math]\displaystyle{ \phi d }[/math]. Let [math]\displaystyle{ a \in \{0,1,2,3,4,5\} }[/math] denote the number of monochromatic edges and let [math]\displaystyle{ b \in \{0,1,2,3,4,5\} }[/math] denote the number of monochromatic diagonals. Observe:
- [math]\displaystyle{ a,b }[/math] cannot both be zero (pigeonhole principle).
- [math]\displaystyle{ a }[/math] cannot be 4. Similarly, [math]\displaystyle{ b }[/math] cannot be 4.
- If [math]\displaystyle{ a=5 }[/math], then [math]\displaystyle{ b=5 }[/math], and conversely.
- If [math]\displaystyle{ a=0 }[/math], then [math]\displaystyle{ b=1,2 }[/math]; similarly, if [math]\displaystyle{ b=0 }[/math], then [math]\displaystyle{ a=1,2 }[/math].
From this we observe the inequalities
- [math]\displaystyle{ |\frac{a}{5}-\frac{b}{5}| \leq \frac{2}{5}; \frac{a}{5} + \frac{b}{5} \geq \frac{1}{5}; 2 \frac{a}{5} - \frac{b}{5} \leq 1; 2\frac{b}{5} - \frac{a}{5} \leq 1 }[/math]
and on taking expectations we obtain the claim. [math]\displaystyle{ \Box }[/math]
The hexagon [math]\displaystyle{ H }[/math] has essentially four distinct colorings: the coloring [math]\displaystyle{ \hbox{2tri} }[/math] with two triangles, the coloring [math]\displaystyle{ \hbox{1tri} }[/math] with one triangle, the coloring [math]\displaystyle{ \hbox{axisym} }[/math] that is symmetric around an axis, and the coloring [math]\displaystyle{ \hbox{centralsym} }[/math] that is symmetric around the central point. This gives four probabilities [math]\displaystyle{ p_{H = 2tri}, p_{H = 1tri}, p_{H = axisym}, p_{H = centralsym} }[/math] that sum to 1. By counting the number of monochromatic edges of length [math]\displaystyle{ \sqrt{3}, 2 }[/math] respectively, one also obtains the identities
- [math]\displaystyle{ p_{\sqrt{3}} = p_{H = 2tri} + \frac{2}{3} p_{H = 1tri} + \frac{1}{3} p_{H = axisym}; \quad p_2 = \frac{1}{3} p_{H=axisym} + p_{H=centralsym} }[/math]
which reproves Lemma 15. Also
- [math]\displaystyle{ {\bf P}( \mathbf{c}(0) = \mathbf{c}(e^{2\pi i/3}) = \mathbf{c}(e^{4\pi i/3}) ) = p_{H = 2tri} + \frac{1}{2} p_{H=1tri}. }[/math]
Any 4-coloring of L contains at least one triangle within one of its 52 copies of H, thus
- [math]\displaystyle{ p_{H = 2tri} + \frac{1}{2} p_{H=1tri} \geq \frac{1}{52} }[/math]
which reproves Corollary 4.
Lemma 19
(Hubai) One has [math]\displaystyle{ p_{H = 1tri} + p_{H = axisym} \geq \frac{1}{10} }[/math].
Proof Consider five copies of H centred at 0,1,2,3,4. With probability at least [math]\displaystyle{ 1 - 5( p_{H = 1tri} + p_{H = axisym} ) }[/math], none of these copies of H are colored 1tri or axisym, and so must be colored 2tri or centralsym. One can check then that if one of the copies is colored 2tri, then so is any adjacent copy; thus all five copies are colored 2tri, or all five are colored centralsym. In either case we see that -1 and 5 are colored the same color. Comparing with Lemma 2 then gives the claim. [math]\displaystyle{ \Box }[/math]
Simplification rules for triplets of points in the complex plane
Deduced from the rule [math]\displaystyle{ {\bf P}(A\land B)+{\bf P}(A\land \lnot B)={\bf P}(A) }[/math].
- [math]\displaystyle{ {\bf P}( {\mathbf c}(z_0) = {\mathbf c}(z_1) = {\mathbf c}(z_2) ) + {\bf P}( {\mathbf c}(z_0) = {\mathbf c}(z_1) \neq {\mathbf c}(z_2) ) = {\bf P}( {\mathbf c}(z_0) = {\mathbf c}(z_1) ) }[/math]
- [math]\displaystyle{ {\bf P}( {\mathbf c}(z_0) \neq {\mathbf c}(z_1) \neq {\mathbf c}(z_2) ) + {\bf P}( {\mathbf c}(z_0) \neq {\mathbf c}(z_1) = {\mathbf c}(z_2) ) = {\bf P}( {\mathbf c}(z_0) \neq {\mathbf c}(z_1) ) }[/math]
- [math]\displaystyle{ {\bf P}( {\mathbf c}(z_0) = {\mathbf c}(z_1) = {\mathbf c}(z_2) ) - {\bf P}( {\mathbf c}(z_0) \neq {\mathbf c}(z_1) \neq {\mathbf c}(z_2) ) = {\bf P}( {\mathbf c}(z_0) = {\mathbf c}(z_1) ) - {\bf P}( {\mathbf c}(z_1) \neq {\mathbf c}(z_2) ) }[/math]
- [math]\displaystyle{ {\bf P}( {\mathbf c}(z_0) \neq {\mathbf c}(z_1) \neq {\mathbf c}(z_2) \neq {\mathbf c}(z_0) ) + {\bf P}( {\mathbf c}(z_1) \neq {\mathbf c}(z_2) = {\mathbf c}(z_0) ) = {\bf P}( {\mathbf c}(z_0) \neq {\mathbf c}(z_1) \neq {\mathbf c}(z_2) ) }[/math]
Proofs of bounds for conditional probabilities
The trivial case, valid where [math]\displaystyle{ \left|d\right|\neq 1 }[/math]:
- [math]\displaystyle{ x\in\mathbb{R}\Rightarrow{\bf P}( {\mathbf c}(0) = {\mathbf c}(d+e^{ix}) \mid {\mathbf c}(0) = {\mathbf c}(d) )=0 }[/math]
Trivial plus Baye's Theorem, valid where [math]\displaystyle{ d\neq 0 }[/math]:
- [math]\displaystyle{ x\in\mathbb{R}\Rightarrow{\bf P}( {\mathbf c}(0) = {\mathbf c}(d+e^{ix}) \mid {\mathbf c}(0) \neq {\mathbf c}(d) )=\frac{{\bf P}( {\mathbf c}(0) = {\mathbf c}(d+e^{ix}) )}{1-{\bf P}( {\mathbf c}(0) = {\mathbf c}(d) )}\leq 1 }[/math]
Rearrange:
- [math]\displaystyle{ {\bf P}( {\mathbf c}(0) = {\mathbf c}(d+e^{ix}) )+{\bf P}( {\mathbf c}(0) = {\mathbf c}(d) )\leq 1 }[/math]
Spindle method: for [math]\displaystyle{ \left|d\right|=d\geq 1/2 }[/math] and [math]\displaystyle{ \theta=2\text{arcsin}\left(\frac{1}{2d}\right) }[/math]:
- [math]\displaystyle{ {\bf P}( {\mathbf c}(0) = {\mathbf c}(d+e^{i\theta}) \mid {\mathbf c}(0) \neq {\mathbf c}(d) ) = \frac{1}{1-{\bf P}( {\mathbf c}(0) = {\mathbf c}(d) )} - 1\leq 1 }[/math]
which is another way to see [math]\displaystyle{ \left|d\right|=d\geq 1/2\Rightarrow{\bf P}( {\mathbf c}(0) = {\mathbf c}(d) )\leq 1/2 }[/math].
